المؤلفون: Maryam Saeed, Olev Martens, Benoit Larras, Antoine Frappe, Deepu John, Barry Cardiff

المصدر: IEEE Access, Vol 12, Pp 25188-25199 (2024)

مصطلحات موضوعية: Level-crossing ADC, electrocardiograms, functional approximation, Chebyshev polynomials, artificial neural networks, arrhythmia, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10427994/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/77708a6d4f094f3e981ee1090e21b212

المؤلفون: Maksim Butsenko, Olev Martens, Andrei Krivosei, Yannick Le Moullec

المصدر: Elektronika ir Elektrotechnika, Vol 24, Iss 5, Pp 57-61 (2018)

مصطلحات موضوعية: electrical bioimpedance, cardiac and respiratory components, parameter estimation, sparse reconstruction, wideband dictionary., Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: http://eejournal.ktu.lt/index.php/elt/article/view/21844; https://doaj.org/toc/1392-1215; https://doaj.org/toc/2029-5731

URL الوصول: https://doaj.org/article/a05f5d615dd145a1b760b086c8954812

المؤلفون: Maryam Saeed, Olev Martens, Benoit Larras, Antoine Frappe, Deepu John, Barry Cardiff

المساهمون: University College Dublin [Dublin] (UCD), Tallinn University of Technology (TTÜ), Microélectronique Silicium - IEMN (MICROELEC SI - IEMN), Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), This work is supported by 1) JEDAI project under the Chist-Era Program, 2) Schlumberger Foundation’s Faculty for the Future Program 3) Irish ResearchCouncil under the New Foundations Scheme and 4) Microelectronic Circuit Centre Ireland., ANR-19-CHR3-0005,JEDAI,Event Driven Artificial Intelligence Hardware for Biomedical Sensors(2019)

المصدر: 2022 IEEE Biomedical Circuits and Systems Conference, BioCAS
2022 IEEE Biomedical Circuits and Systems Conference, BioCAS, Oct 2022, Taipei, Taiwan. pp.595-599, ⟨10.1109/biocas54905.2022.9948612⟩

مصطلحات موضوعية: event-driven, [SPI]Engineering Sciences [physics], level-crossing ADC, chebyshev polynomials, electrocardiograms, functional approximation, arrhythmia, artificial neural networks

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f4b822ee445846de44c1234f6fa8eb2
https://doi.org/10.1109/biocas54905.2022.9948612

المؤلفون: Olev Martens, Margus Metshein, Gert Tamberg, Anar Abdullayev

المصدر: 2022 18th Biennial Baltic Electronics Conference (BEC).

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::ba433fb54c8793e620c795450379caeb
https://doi.org/10.1109/bec56180.2022.9935597

المؤلفون: Anar Abdullayev, Olev Martens, Marek Rist, Margus Metshein, Mart Min, Paul Annus

المصدر: 2022 18th Biennial Baltic Electronics Conference (BEC).

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::c715080b08f0aba14a5265d1c1730e55
https://doi.org/10.1109/bec56180.2022.9935588

المؤلفون: Andrei Krivosei, Mart Min, Paul Annus, Olev Martens, Margus Metshein, Kristina Lotamois, Marek Rist

المصدر: 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::a4c02bad160f3271c85331c50dacb996
https://doi.org/10.1109/memea54994.2022.9856564

المؤلفون: Julien Duforest, Benoit Larras, Antoine Frappe, Chacko John Deepu, Olev Martens

المساهمون: Microélectronique Silicium - IEMN (MICROELEC SI - IEMN), Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), JUNIA (JUNIA), Université catholique de Lille (UCL), University College Dublin [Dublin] (UCD), Tallinn University of Technology (TTÜ), ANR jedai (information auteur), Laboratoire commun STMicroelectronics-IEMN T2, ANR-19-CHR3-0005,JEDAI,Event Driven Artificial Intelligence Hardware for Biomedical Sensors(2019)

المصدر: 2022 IEEE International Symposium on Circuits and Systems (ISCAS)
2022 IEEE International Symposium on Circuits and Systems (ISCAS), May 2022, Austin, TX, United States. pp.414-418, ⟨10.1109/ISCAS48785.2022.9937853⟩

مصطلحات موضوعية: Antidictionary, [SPI]Engineering Sciences [physics], ComputingMethodologies_PATTERNRECOGNITION, cardiovascular system, Event-driven, Cardiac Arrhythmia Classification, Electrocardiogram

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82ffd4794adcbcdfa9b1ddc869c4023e
https://hal.science/hal-03701059

المؤلفون: Margus Metshein, Antoine Gautier, Benoit Larras, Antoine Frappe, Deepu John, Barry Cardiff, Paul Annus, Raul Land, Olev Martens

المساهمون: Tallinn University of Technology (TTÜ), Microélectronique Silicium - IEMN (MICROELEC SI - IEMN), Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), University College Dublin [Dublin] (UCD), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), This work was supported by EU Regional Development Fund (Estonian Centre of Excellence in ICT Research EXCITE TAR16013 and Mobilitas+ project Mobera20), CHIST-ERA grant JEDAI CHIST-ERA-18-ACAI-003, Irish Research Council and French Researh Agency project ANR-19-CHR3-0005-01., Laboratoire commun STMicroelectronics-IEMN T2, ANR-19-CHR3-0005,JEDAI,Event Driven Artificial Intelligence Hardware for Biomedical Sensors(2019)

المصدر: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Nov 2021, Mexico, Mexico. ⟨10.1109/EMBC46164.2021.9629504⟩

مصطلحات موضوعية: Volume measurement, Sensors, 0206 medical engineering, Stroke Volume, 02 engineering and technology, Time measurement, Thorax, Cardiography, Impedance, 020601 biomedical engineering, Electrocardiography, [SPI]Engineering Sciences [physics], Electric Impedance, Wearable computers, Cardiac Output, Electrodes, ComputingMilieux_MISCELLANEOUS

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::561fe74a32ec302e6b6938c95e4a4885
https://hal.archives-ouvertes.fr/hal-03482302/file/EMBC_Margus_CameraReady.pdf

المؤلفون: Julien Duforest, Benoit Larras, Deepu John, Olev Martens, Antoine Frappe

المساهمون: Microélectronique Silicium - IEMN (MICROELEC SI - IEMN), Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), JUNIA (JUNIA), Université catholique de Lille (UCL), University College Dublin [Dublin] (UCD), Tallinn University of Technology (TTÜ), This work was supported by the EU Regional Development Fund (Estonian Centre of Excellence in ICT Research EXCITE TAR16013), the CHIST-ERA grant JEDAI, Mobilitas+ project Mobera20, Irish Research Council, and French Research Agency project ANR-19-CHR3-0005-01., Laboratoire commun STMicroelectronics-IEMN T2, ANR-19-CHR3-0005,JEDAI,Event Driven Artificial Intelligence Hardware for Biomedical Sensors(2019)

المصدر: 2021 IEEE Biomedical Circuits and Systems Conference (BioCAS)
2021 IEEE Biomedical Circuits and Systems Conference (BioCAS), Oct 2021, Berlin, Germany. pp.01-04, ⟨10.1109/BioCAS49922.2021.9644957⟩

مصطلحات موضوعية: Artificial neural network (ANN), event-driven, [SPI]Engineering Sciences [physics], ComputingMethodologies_PATTERNRECOGNITION, time-to-digital converter (TDC), level-crossing ADC, cardiac arrhythmia classification (CAC), ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS, cardiovascular diseases, electrocardiogram (ECG)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59e88cd27bd11bc1b16b4ad499ab7232
https://doi.org/10.1109/biocas49922.2021.9644957

المؤلفون: Antoine Gautier, Benoit Larras, Olev Martens, Deepu John, Antoine Frappe

المساهمون: Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), University College Dublin [Dublin] (UCD), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Microélectronique Silicium - IEMN (MICROELEC SI - IEMN), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Tallinn University of Technology (TTÜ), Current work has been supported by CHIST-ERA grant JEDAI, Irish Research Council and French Research Agency project ANR-19-CHR3-0005-01 and EU Regional Development Fund (Estonian Centre of Excellence in ICT Research EXCITE TAR16013 and Mobilitas+ project Mobera20), Laboratoire commun STMicroelectronics-IEMN T2, ANR-19-CHR3-0005,JEDAI,Event Driven Artificial Intelligence Hardware for Biomedical Sensors(2019)

المصدر: 34th IEEE International System-On-Chip Conference
34th IEEE International System-On-Chip Conference, Sep 2021, Las Vegas, NV, United States
34th IEEE International System-On-Chip Conference, Socc 2021
34th IEEE International System-On-Chip Conference, Socc 2021, Sep 2021, Las Vegas, NV, United States. ⟨10.1109/SOCC52499.2021.9739386⟩

مصطلحات موضوعية: ICG, [SPI]Engineering Sciences [physics], Stroke Volume, biosignal monitoring, wearable

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f100e984336b3b1e9edad3638340f3ef
https://hal.archives-ouvertes.fr/hal-03482323